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- Tasks: Lead AI and machine learning solutions while mentoring a dynamic team.
- Company: A leading standards organisation in the UK with a focus on innovation.
- Benefits: Hybrid working options and a competitive benefits package.
- Why this job: Drive innovation in AI and make a real impact in the industry.
- Qualifications: Expertise in Python and strong stakeholder engagement skills required.
- Other info: Join a collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading standards organization in the UK is seeking a Principal Data Scientist to lead AI and machine learning solutions. The role involves mentoring and developing the team, driving innovation, and ensuring stakeholder satisfaction.
The ideal candidate will have:
- Expertise in Python
- Strong stakeholder engagement skills
- Experience in managing Agile teams
This full-time role offers hybrid working options and a competitive benefits package.
Rail AI Leader | Principal Data Scientist (Hybrid) employer: Rail Safety and Standards Board Limited
Contact Detail:
Rail Safety and Standards Board Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Rail AI Leader | Principal Data Scientist (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the rail and AI sectors. Attend industry events or webinars to meet potential employers and showcase your expertise in Python and Agile management.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with AI solutions. Don’t forget to highlight your mentoring abilities and how you’ve driven innovation in past roles.
✨Tip Number 3
Showcase your stakeholder engagement skills! Be prepared to share examples of how you've successfully collaborated with different teams and ensured satisfaction. This is key for a Principal Data Scientist role.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to get noticed by hiring managers who are looking for top talent like you.
We think you need these skills to ace Rail AI Leader | Principal Data Scientist (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and machine learning solutions. We want to see how your skills in Python and Agile team management shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share specific examples of how you've driven innovation and engaged stakeholders in your previous roles.
Showcase Your Mentoring Skills: Since mentoring is key in this role, include any relevant experiences where you’ve guided or developed others. We love to see how you can uplift a team and foster growth!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Rail Safety and Standards Board Limited
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those involving Python. Highlight how your expertise can drive innovation in the role.
✨Show Off Your Mentoring Skills
Since this role involves mentoring, think of examples where you've successfully guided a team or individual. Prepare to share how you fostered growth and development in others, as this will demonstrate your leadership capabilities.
✨Engage with Stakeholders
Stakeholder engagement is key, so come prepared with examples of how you've effectively communicated and collaborated with different parties. Think about challenges you've faced and how you resolved them to ensure satisfaction.
✨Agile Mindset
Familiarise yourself with Agile methodologies if you haven't already. Be ready to discuss your experience managing Agile teams and how you adapt to changes quickly. This will show that you're not just a data whiz but also a flexible team player.
